Code and data for the paper: Connectivity or coverage? The effectiveness of urban green-blue spaces in mitigating global heat exposure
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902207347032064 |
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| author | Anonymous |
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| contents | <p><strong>Data.zip contains the following files:</strong></p> <ul> <li>climate_class.zip: Köppen climate classification data.</li> <li>data_calculate.zip: Panel data for assessing the impact of urban blue-green spaces on heat exposure in the paper, as well as data required for plotting.</li> <li>Global_cities.zip: Vector data of urban boundary ranges.</li> <li>Green_tif.zip: Global urban green space data in TIFF format.</li> <li>water_tif.zip: Global urban water body data in TIFF format.</li> </ul> <p><strong>Code.zip contains the following files:</strong></p> <ul> <li>Fixed_effects_model__UHE_UGBS.R: R code for measuring the impact of urban blue-green spaces on heat exposure.</li> <li>Spatial_visulization_UHE_UGBS.R: R code for reproducing the main visual outputs of the study (figures/tables), including spatial maps and statistical summaries of WBGT-based heat exposure and UGBS indicators.</li> <li>UHE_calculate(WBGT).ipynb: Jupyter Notebook for downloading WBGT data and computing WBGT-based urban heat exposure metrics for all global cities from 2000–2020, including preprocessing and city-level aggregation workflows.</li> </ul> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18102414 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Code and data for the paper: Connectivity or coverage? The effectiveness of urban green-blue spaces in mitigating global heat exposure Anonymous <p><strong>Data.zip contains the following files:</strong></p> <ul> <li>climate_class.zip: Köppen climate classification data.</li> <li>data_calculate.zip: Panel data for assessing the impact of urban blue-green spaces on heat exposure in the paper, as well as data required for plotting.</li> <li>Global_cities.zip: Vector data of urban boundary ranges.</li> <li>Green_tif.zip: Global urban green space data in TIFF format.</li> <li>water_tif.zip: Global urban water body data in TIFF format.</li> </ul> <p><strong>Code.zip contains the following files:</strong></p> <ul> <li>Fixed_effects_model__UHE_UGBS.R: R code for measuring the impact of urban blue-green spaces on heat exposure.</li> <li>Spatial_visulization_UHE_UGBS.R: R code for reproducing the main visual outputs of the study (figures/tables), including spatial maps and statistical summaries of WBGT-based heat exposure and UGBS indicators.</li> <li>UHE_calculate(WBGT).ipynb: Jupyter Notebook for downloading WBGT data and computing WBGT-based urban heat exposure metrics for all global cities from 2000–2020, including preprocessing and city-level aggregation workflows.</li> </ul> |
| title | Code and data for the paper: Connectivity or coverage? The effectiveness of urban green-blue spaces in mitigating global heat exposure |
| url | https://doi.org/10.5281/zenodo.18102414 |